Corporate Blog

This article explains what nearshore mobile app development is and how it compares to offshore and onshore outsourcing models. It highlights the key benefits, challenges, costs, and top destinations for nearshore development, helping businesses decide when and how to choose the right nearshore partner.

Modernizing legacy .NET applications is no longer optional — it’s essential. This article explores the reasons for migration, the step-by-step process, and how SCAND helps businesses upgrade with confidence and clarity.

Struggling with slow, error-prone medical coding processes? This article explains how AI-powered medical coding software can streamline workflows, improve accuracy, and why a custom-built solution might be the best fit for your organization.

Outsourcing software development can help you save time, cut costs, and access top global talent without the hiring hassle. In this complete guide, we explore the most effective outsourcing models, how to avoid common pitfalls, and why companies like SCAND are leading the way in 2025.

This article explains how spatial computing enhances real-world user experiences and reviews top SDKs like visionOS, MRTK, Meta Presence, and Lightship with their best use cases.

Flutter in 2025: still a powerful cross-platform development tool, but with important nuances. In our blog, we dive into its pros and cons, new capabilities, and when choosing Flutter makes the most sense.

Publishing an app on Google Play is more than just uploading a file. In this article, we analyze the most frequent reasons apps get rejected and provide step-by-step advice on how to successfully pass moderation.

Submitting your app to the App Store is a multi-stage process that goes far beyond development. In this article, we explain how to prepare your app, meet Apple’s guidelines, and minimize the risk of rejection.

By 2025, more than 80% of business apps will use machine learning to work smarter and offer better user experiences. This article explains in simple steps how to create a machine learning app—from choosing the idea and tools to building, launching, and improving it over time.

The article explores how Artificial Intelligence (AI) is being used across various businesses, improving decisions, efficiency, and customer experiences.